njujinchun

BCNN4GRACE

A Bayesian Convolutional Neural Network for reconstructing GRACE TWSA signals

dcedn-gcs

Deep convolutional encoder-decoder networks for uncertainty quantification of dynamic multiphase flow in heterogeneous media

Codes-of-TEAD

This is the codes and examples described in "Mo, S., Lu, D., Shi, X., Zhang, G., Ye, M., Wu, J., & Wu, J. (2017). A Taylor expansion‐based adaptive design strategy for global surrogate modeling with applications in groundwater modeling. Water Resources Research, 53, 10,802–10,823. https://doi.org/10.1002/2017WR021622"

Deep-autoregressive-neural-networks-for-dynamical-solute-transport-models

XBTimesNet

An explainable Bayesian TimesNet for probabilistic groundwater level prediction

File4Geofluids

Input files for FLOLA-Voronoi

Nonstationary_Transformers

Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/abs/2205.14415

pCNN4GCS

A probabilistic convolutional neural network for surrogate modeling of GCS models